Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant ...Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant tunneling diode-based cellular neural networks(RTD-CNNs)with memristors has rarely been reported in the literature.Therefore,this paper designs a coupled RTD-CNN model with memristors(RTD-MCNN),investigating and analyzing the dynamic behavior of the RTD-MCNN.Based on this model,a simple encryption scheme for the protection of digital images in police forensic applications is proposed.The results show that the RTD-MCNN can have two positive Lyapunov exponents,and its output is influenced by the initial values,exhibiting multistability.Furthermore,a set of amplitudes in its output sequence is affected by the internal parameters of the memristor,leading to nonlinear variations.Undoubtedly,the rich dynamic behaviors described above make the RTD-MCNN highly suitable for the design of chaos-based encryption schemes in the field of privacy protection.Encryption tests and security analyses validate the effectiveness of this scheme.展开更多
开展公路隧道结构状态精准预测是掌握隧道结构状态变化、识别潜在安全风险和保障安全运营的重要技术手段。针对隧道监控量测测点的空间分布与时序特性,提出了一种基于河马优化(Hippopotamus Optimization, HO)算法和卷积神经网络(Convol...开展公路隧道结构状态精准预测是掌握隧道结构状态变化、识别潜在安全风险和保障安全运营的重要技术手段。针对隧道监控量测测点的空间分布与时序特性,提出了一种基于河马优化(Hippopotamus Optimization, HO)算法和卷积神经网络(Convolutional Neural Network, CNN)的双向长短期记忆(Bidirectional Long Short Term Memory, BiLSTM)网络公路隧道结构状态预测方法。量化分析测点间关联性,结合温度特征构建模型输入矩阵;利用CNN挖掘各测点的空间关联性,采用BiLSTM提取时间序列特征,引入HO算法优化模型参数;将预测结果映射为隧道结构状态等级,展示隧道整体受力状态。结果表明,建立的HO-CNN-BiLSTM模型能够有效提取空间和温度特征,在预测精度和稳定性方面均优于对比模型,可实现隧道结构状态精确评估,为公路隧道的安全运营及分级管控措施制定提供技术支撑。展开更多
为满足煤矿掘进设备在复杂井下环境中对高可靠性、实时性和多节点组网通信的需求,设计了一种基于RS-485总线与控制器局域网络(Controller Area Network,CAN)融合的掘进设备本地通信系统。通过构建“高速骨干、低速接入”分层架构,重点...为满足煤矿掘进设备在复杂井下环境中对高可靠性、实时性和多节点组网通信的需求,设计了一种基于RS-485总线与控制器局域网络(Controller Area Network,CAN)融合的掘进设备本地通信系统。通过构建“高速骨干、低速接入”分层架构,重点研究了基于CAN总线高可靠性的短帧传输技术、基于异构网关优先级调度的实时通信技术以及基于分层拓扑的多节点组网扩展技术。实际应用结果表明,该系统能够有效提升掘进设备通信系统的可靠性和实时性,同时具备良好的节点扩展能力。展开更多
Since the construction of the first expressway in the 1970s, the total length of expressways in Taiwan has increased to over 1 000 km, of which 40 km are aligned with tunnels. These twin-tube tunnels, which have two o...Since the construction of the first expressway in the 1970s, the total length of expressways in Taiwan has increased to over 1 000 km, of which 40 km are aligned with tunnels. These twin-tube tunnels, which have two or three lanes in each tube, are characterized by large cross-sections. Due to the complicated topography and heterogeneous geological conditions of Taiwan, tunnel construction has encountered many difficulties. Thus, many advanced excavation methods were developed during tunnel construction. To satisfy the concurrent requirements of safety, economy and efficiency, new construction methods and techniques should be developed or introduced. Moreover, environmental protection and ecological conservation must be paid increasing attention to the goal of substantial development.展开更多
基金supported by the Scientific Research Fund of Hunan Provincial Education Department(Grant No.24A0248)the National Key Research and Development Program“National Quality Infrastructure System”Special Project(Grant No.2024YFF0617900)the Hefei Minglong Electronic Technology Co.,Ltd.(Grant Nos.2024ZKHX293,2024ZKHX294,and 2024ZKHX295).
文摘Due to their biological interpretability,memristors are widely used to simulate synapses between artificial neural networks.As a type of neural network whose dynamic behavior can be explained,the coupling of resonant tunneling diode-based cellular neural networks(RTD-CNNs)with memristors has rarely been reported in the literature.Therefore,this paper designs a coupled RTD-CNN model with memristors(RTD-MCNN),investigating and analyzing the dynamic behavior of the RTD-MCNN.Based on this model,a simple encryption scheme for the protection of digital images in police forensic applications is proposed.The results show that the RTD-MCNN can have two positive Lyapunov exponents,and its output is influenced by the initial values,exhibiting multistability.Furthermore,a set of amplitudes in its output sequence is affected by the internal parameters of the memristor,leading to nonlinear variations.Undoubtedly,the rich dynamic behaviors described above make the RTD-MCNN highly suitable for the design of chaos-based encryption schemes in the field of privacy protection.Encryption tests and security analyses validate the effectiveness of this scheme.
文摘开展公路隧道结构状态精准预测是掌握隧道结构状态变化、识别潜在安全风险和保障安全运营的重要技术手段。针对隧道监控量测测点的空间分布与时序特性,提出了一种基于河马优化(Hippopotamus Optimization, HO)算法和卷积神经网络(Convolutional Neural Network, CNN)的双向长短期记忆(Bidirectional Long Short Term Memory, BiLSTM)网络公路隧道结构状态预测方法。量化分析测点间关联性,结合温度特征构建模型输入矩阵;利用CNN挖掘各测点的空间关联性,采用BiLSTM提取时间序列特征,引入HO算法优化模型参数;将预测结果映射为隧道结构状态等级,展示隧道整体受力状态。结果表明,建立的HO-CNN-BiLSTM模型能够有效提取空间和温度特征,在预测精度和稳定性方面均优于对比模型,可实现隧道结构状态精确评估,为公路隧道的安全运营及分级管控措施制定提供技术支撑。
文摘为满足煤矿掘进设备在复杂井下环境中对高可靠性、实时性和多节点组网通信的需求,设计了一种基于RS-485总线与控制器局域网络(Controller Area Network,CAN)融合的掘进设备本地通信系统。通过构建“高速骨干、低速接入”分层架构,重点研究了基于CAN总线高可靠性的短帧传输技术、基于异构网关优先级调度的实时通信技术以及基于分层拓扑的多节点组网扩展技术。实际应用结果表明,该系统能够有效提升掘进设备通信系统的可靠性和实时性,同时具备良好的节点扩展能力。
文摘Since the construction of the first expressway in the 1970s, the total length of expressways in Taiwan has increased to over 1 000 km, of which 40 km are aligned with tunnels. These twin-tube tunnels, which have two or three lanes in each tube, are characterized by large cross-sections. Due to the complicated topography and heterogeneous geological conditions of Taiwan, tunnel construction has encountered many difficulties. Thus, many advanced excavation methods were developed during tunnel construction. To satisfy the concurrent requirements of safety, economy and efficiency, new construction methods and techniques should be developed or introduced. Moreover, environmental protection and ecological conservation must be paid increasing attention to the goal of substantial development.
